Foundations of Genetic Algorithms
Springer Berlin (Verlag)
978-3-540-73479-6 (ISBN)
Inbreeding Properties of Geometric Crossover and Non-geometric Recombinations.- Just What Are Building Blocks?.- Sufficient Conditions for Coarse-Graining Evolutionary Dynamics.- On the Brittleness of Evolutionary Algorithms.- Mutative Self-adaptation on the Sharp and Parabolic Ridge.- Genericity of the Fixed Point Set for the Infinite Population Genetic Algorithm.- Neighborhood Graphs and Symmetric Genetic Operators.- Decomposition of Fitness Functions in Random Heuristic Search.- On the Effects of Bit-Wise Neutrality on Fitness Distance Correlation, Phenotypic Mutation Rates and Problem Hardness.- Continuous Optimisation Theory Made Easy? Finite-Element Models of Evolutionary Strategies, Genetic Algorithms and Particle Swarm Optimizers.- Saddles and Barrier in Landscapes of Generalized Search Operators.
| Erscheint lt. Verlag | 29.6.2007 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science | Theoretical Computer Science and General Issues |
| Zusatzinfo | X, 216 p. |
| Verlagsort | Berlin |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 351 g |
| Themenwelt | Informatik ► Software Entwicklung ► User Interfaces (HCI) |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Schlagworte | Adaptive Systems • algorithm • Algorithm analysis and problem complexity • Algorithmic Learning • algorithms • Biology • Classifier SYstems • connectedness • Evolution • evolutionary algorithms • Evolutionary Programming • evolutionary research • Evolution Strategies • generalized topology • Genetic algorithms • genetic programming • heuristic search methods • machine learning • Multi-Objective Optimization • Perturbation Methods • programming • recombination |
| ISBN-10 | 3-540-73479-1 / 3540734791 |
| ISBN-13 | 978-3-540-73479-6 / 9783540734796 |
| Zustand | Neuware |
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